| GA-BP模型在煤质分析中的仿真研究 |
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| 引用本文： | 马萌萌,董泽.GA-BP模型在煤质分析中的仿真研究[J].电力科学与工程,2011,27(6):42-46. |
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| 作者姓名： | 马萌萌 董泽 |
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| 作者单位： | 华北电力大学河北省发电过程仿真与优化控制工程技术研究中心; |
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| 摘 要： | 煤质的元素成分是锅炉热效率计算中必须的原始数据,电厂一般很难自行测定。利用BP神经网络优良的非线性逼近能力,建立较易获得的煤质工业分析数据至元素分析数据的转换模型,并结合遗传算法全局寻优的特点优化BP神经网络的参数,通过算法比较和实例结果分析,表明该模型可以有效、可靠地运用于煤质元素分析的软测量中,并可方便地应用于其他方面。
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| 关 键 词： | 煤质 工业分析 元素分析 遗传(GA)算法 BP神经网络 |
Simulation Study on GA-BP Model in Coal Nature Analysis |
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| Ma Mengmeng,Dong Ze.Simulation Study on GA-BP Model in Coal Nature Analysis[J].Power Science and Engineering,2011,27(6):42-46. |
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| Authors: | Ma Mengmeng Dong Ze |
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| Affiliation: | Ma Mengmeng,Dong Ze(Hebei Engineering Research Center of Simulation and Optimized Control for Power Generation,North China Electric Power University,Baoding 071003,China) |
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| Abstract: | Element composition of coal which is essential to thermal efficiency calculation,is difficult to self-determination in power plant.This article makes the best use of BP neural network's excellent non-linear approximation ability to build the conversion model from proximate analysis data to ultimate analysis data,and genetic algorithm with the characteristics of global optimization is combined to optimize the parameters of BP neural network.Comparison with the pure BP neural network and practical simulation ... |
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| Keywords: | coal nature proximate analysis ultimate analysis GA algorithm BP neural network |
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